Dynamic Gesture Recognition and its Application to Sign Language

dc.creatorRonchetti, Franco
dc.date2017-10
dc.date2017-10-13T16:12:45Z
dc.date.accessioned2019-11-21T14:18:26Z
dc.date.available2019-11-21T14:18:26Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/62945
dc.identifierhttp://journal.info.unlp.edu.ar/wp-content/uploads/2017/10/JCST-45-Paper-8.pdf
dc.identifierissn:1666-6038
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3039729
dc.descriptionThe automatic recognition of human gestures is a complex multidisciplinary problem that has not yet been completely solved. Since the advent of digital video capture technologies, there have been attempts to recognize dynamic gestures for different purposes. In the recent years, new technologies such as depth sensors or highresolution cameras were incorporated as well as the high processing capacity of the current devices emerged, allowing the new technologies development capable of detecting different movements and acting in real time. Unlike the recognition of the spoken voice, which has been researched for more than forty years, the topic of this thesis is relatively new in the scientific area and it evolves rapidly as new devices appear as well as new computer vision algorithms.
dc.descriptionEs revisión de: http://sedici.unlp.edu.ar/handle/10915/59330
dc.descriptionTesis defendida el 23 de marzo de 2017 para obtener el título de Doctor en Ciencias Informáticas (UNLP).
dc.descriptionFacultad de Informática
dc.formatapplication/pdf
dc.format154-155
dc.languageen
dc.relationJournal of Computer Science & Technology
dc.relationvol. 17, no. 2
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0/
dc.rightsCreative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.subjectCiencias Informáticas
dc.titleDynamic Gesture Recognition and its Application to Sign Language
dc.typeArticulo
dc.typeRevision


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